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    Defining clear metrics to drive model adoption and value creation

    One of the biggest ironies of enterprise data science is that although data science teams are masters at using probabilistic models and diagnostic analytics to forecast...

    On Being Model-driven: Metrics and Monitoring

    This article covers a couple of key Machine Learning (ML) vital signs to consider when tracking ML models in production to ensure model reliability,...

    Model Evaluation

    This Domino Data Science Field Note provides some highlights of Alice Zheng’s report, "Evaluating Machine Learning Models", including evaluation...